config.json

{
  "architectures": [
    "PhoBertLexical"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "B\u00ecnh th\u01b0\u1eddng",
    "1": "T\u00ednh nhi\u1ec7m th\u1ea5p"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B\u00ecnh th\u01b0\u1eddng": 0,
    "T\u00ednh nhi\u1ec7m th\u1ea5p": 1
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 258,
  "model_type": "roberta",
  "num_attention_heads": 12,
  "num_classes": 2,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "tokenizer_class": "PhobertTokenizer",
  "torch_dtype": "float32",
  "transformers_version": "4.52.4",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 64001
}